Pre-earnings "what to watch" briefs — auto-generated during autopilot prep. Past reports collapse automatically.
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Top Mover (YTD)
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Avg Estimate Rev (30d)
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Net Upgrades (90d) ?Net analyst rating changes (upgrades minus downgrades) across coverage over the past 90 days. Positive means more upgrades; negative means more downgrades.
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Bullish / Bearish ?Count of tickers with bullish vs bearish analyst momentum labels. A ticker is bullish when net 90-day rating changes are positive; bearish when negative.
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Momentum Dashboard
Portfolio
Watchlist
All
Momentum Heatmap ?Color-intensity grid showing relative momentum strength across price, estimate, rating, conviction, and theme signals. Green = positive, red = negative, intensity = magnitude.
Estimate Revision Scatter ?EPS revision (x) vs Revenue revision (y) over 30 days. Dot size = market cap tier. Upper-right = broad estimate lifts; lower-left = broad cuts.
Sector Momentum Rollup ?Aggregate momentum signals by sector or sub-sector. Shows average composite score (price + estimate + rating) and breadth (% of tickers with positive momentum).
Sector
Sub-Sector
Price vs Estimate Divergence ?Flags tickers where price momentum and estimate momentum move in opposite directions — potential mean-reversion or dislocation signals.
Conviction × Momentum ?Cross-reference conviction scores with momentum signals. High conviction + accelerating momentum = strongest signal overlap. High conviction + decaying = potential concern.
Price Momentum ?Year-to-date and quarter-to-date price returns plus distance from 52-week high. Identifies relative strength leaders and laggards across the portfolio.
Estimate Revisions (30d) ?Percentage change in consensus EPS and revenue estimates over the last 30 and 90 days. Rising estimates signal improving fundamentals; falling estimates flag deterioration. NTM annual period used.
Rating Momentum ?Analyst rating activity over 30 and 90 days — upgrades, downgrades, net direction, and bullish consensus %. Captures sell-side sentiment shifts before they fully price in.
Theme Momentum Map ?Visual map of themes sized by mention count and colored by momentum status. Green = accelerating, blue = new, gray = stable, red = decaying.
Theme Momentum ?Tracks investment themes extracted from earnings transcripts and news. Themes are labeled accelerating, stable, decaying, or new based on mention frequency trends across quarters. Highlights emerging narratives and fading catalysts.
All
Sector
Macro
Company
Valuation Multiple Analysis
Portfolio
Watchlist
All
Sector Analysis
Identify emerging sector trends and rebalancing opportunities
Analytics
Insights
All Coverage
Portfolio
Watchlist
1M
QTD
YTD
1Y
Sector Momentum Ranking
Estimate Revision Momentum ?Average change in consensus EPS (blue) and revenue (green) estimates by sector. Period controlled by the global toggle above. Positive bars indicate upward estimate revisions. Negative bars indicate cuts. Sectors sorted by EPS revision strength.
Sector Opportunity Map ?Bubble scatter: X-axis = sector momentum score (estimate revisions + earnings surprises + guidance), Y-axis = YTD alpha vs SPY. Bubble size = portfolio weight. Upper-right = strong momentum + outperformance. Lower-left = weakening fundamentals + underperformance. Use the dropdown to drill into sub-sectors within a broad sector.
Benchmark:vs Sector ETFvs SPY
Coverage vs Benchmark
Coverage Return vs ETF Benchmark
12-Month Price Path
Sub-Sector Drill-Down
Broad Sector
Sub-Sector
Research Files▶
Thematic Intelligence
Industry-level thematic analysis by peer group and sector
All
30d
90d
180d
Peer Themes
Theme Dynamics
Curate
Showingsectorscope themes — industry-level drivers shared across group members
Company Themes in Common
company— company-level themes shared by 2+ members
Cross-Group Themes
Themes spanning multiple peer groups and sectors
All
30d
90d
180d
Emerging Themes — Review Queue
Pending
Priority
Suppressed
All
Theme Management
Markets
Overview
Charts
Macro Health
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Rate Environment—
Valuation—
Risk Sentiment—
Economic Pulse—
—
Macro Health Trend
30D
90D
1Y
5Y
Max
S&P 500 P/E Trend
30D
90D
1Y
5Y
Max
Market Regime
Macro Briefing
Macro Intelligence Themes
1M
3M
6M
1Y
3Y
5Y
Major US Index ETFs
Ticker
Name
Trend
1M
3M
6M
1Y
3Y
5Y
10Y
Sector ETFs
Ticker
Name
Trend
1M
3M
6M
1Y
3Y
5Y
10Y
Commodities & Precious Metals
Ticker
Name
Trend
1M
3M
6M
1Y
3Y
5Y
10Y
International ETFs
Ticker
Name
Trend
1M
3M
6M
1Y
3Y
5Y
10Y
Crypto ETFs
Ticker
Name
Trend
1M
3M
6M
1Y
3Y
5Y
10Y
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Source
Portfolio
Watchlist
Demo Mode — Showing synthetic portfolio data for illustration purposes
Fund Performance
1M
3M
6M
YTD
1Y
All
Available Reports
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Consolidated
WAF Trust
CAF Taxable
CAF IRA
Cumulative Return (indexed to 100)
— Fund (TWR)— SPY· · · Target (SPY+5%)
Open Positions
Ticker
Conv.
Trend
Shares
Price
Beta (3Y)
Beta (5Y)
Value
Weight
YTD
QTD
Cost Basis / sh
Unrealized
Since Open
Contribution
Age
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AI Commentary
Realized Gains / Losses
By Quarter
Lot Detail
Quarter / Ticker
Shares
Cost / sh
Sell / sh
Gain / Loss
Return
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Quarter
Ticker
Shares
Open
Close
Cost / sh
Sell / sh
Gain / Loss
Return
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Dividend Income
Date
Ticker
Amount
Description
No dividend data
Option Income
Date
Underlying
Option
Type
Premium
No option data
Capital Flows
Deposits and withdrawals — used to calculate HPR
No capital flows recorded — click + Add to enter your initial funding
Model performance, conviction backtesting, scenario accuracy, and decision quality metrics.
Predictive Analysis
Statistical validation of the scoring model — correlation analysis, calibration testing, and cross-sectional backtests across the full coverage universe.
Model Validation
Consensus Divergence
Model Correction
Target Scorecard
Thematic Intelligence
Thematic Leaders
Cross-Sector Themes
Companies ranked by directional thematic density — who is accumulating bullish momentum vs bearish headwinds.
Paradigm-shifting themes that cut across sectors — from emerging scientific breakthroughs to accelerating industrial trends.
Convictions
Conviction scoring across portfolio and watchlist — sector breakdowns, peer group analysis, historical trends, and score movements.
Sector Avg Conviction Over Time
Conviction Distribution
Asymmetric Ideas
Bi-weekly scanner ranking coverage by BE-2Q25-style alpha setups. Score = (payoff)0.5 × (capacity)0.5 × gate. See docs/asymmetric-scanner/.
Last run: —
Capacity × Payoff
isoscore lines at 1.0 / 1.5 / 2.0 · color = proximity
Pillar breakdown — —
4-Pillar profile
Score history (60d)
Component contribution
Pillar score distribution (passed tickers)
Theme distribution (top picks)
Pillar contribution heatmap (top 10)
Component leaderboard
Memo archive
Gate failure distribution
Gate overlap matrix
Pass-rate trend
Top-score trend
Sonnet narrative pattern-matcher: rates each candidate's setup similarity to Bloom Energy's 2Q25 alpha pattern (sustained beats + secular theme + holder breadth + incomplete rerating + price confirmation). Universe: ~125 tickers with earnings 3-120d out (wider than the rubric's 3-45d "earnings proximate" window). Complement to the deterministic rubric — agreement = high conviction, disagreement = the case worth investigating.
Universe Size
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High Fidelity
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Medium Fidelity
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Low Fidelity
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Last Pipeline Run
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Upcoming Earnings
Company
Macro
All Catalysts
All
Portfolio
Watchlist
Insights
Bias Flags
Cohort
Review
All
Portfolio
Watchlist
Portfolio X-Ray
Consolidated
Demo Mode — Showing synthetic portfolio data for illustration purposes
Overview
Factors & Conviction
Themes
Risk & Strategy
Portfolio Strategy
Define allocation constraints, sector exposure targets, and weighting methodology. The rebalancing engine reads these when generating trade lists.
Consolidated
Account-level settings override consolidated defaults. Leave blank to inherit.
Position Sizing
Weighting Strategy
Positions sized proportionally to their composite conviction score, then capped at min/max bounds.
Account Purpose
Sector Exposure Targets
Current allocation shown for reference
Sector
Current %
Target %
Max %
Drift
Risk Classification
Holdings are auto-classified by conviction score. Thresholds are editable. Flags cascade to Performance and Overview pages.
Enter an investment hypothesis to map exposure across the coverage universe. The engine identifies beneficiaries, constrained names, and second-order effects.
Enter a hypothesis above and click Analyze to generate a scenario brief.
Private AI company intelligence from newsletter mentions
Expert interview digests from AlphaSense, Tegus, and other research sources
Buy Radar ?Ranks watchlist tickers by composite buy score (0–100). Blends four sub-scores: Conviction (fundamental + thematic quality), Estimates (recent revision momentum), Rating (analyst upgrade/downgrade trend), and Valuation (relative cheapness vs peers and history). Recalculated on demand.
Discoveries ?Weekly automated scan of FMP endpoints for new investment candidates. Scores tickers across Signal Breadth, Momentum, Fundamentals, and Smart Money. Runs every Sunday at 2pm ET.
Watchlist & Portfolio Management
Add, remove, or toggle tickers between portfolio and watchlist.
Changes take effect immediately — the pipeline reads from the database at startup.
Ticker
Name
Sector
Type
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Database Connection
Enter your Supabase credentials to connect the dashboard to your earnings database.
These are stored in your browser only.
Found in Supabase → Settings → API → Project URL
Found in Supabase → Settings → API → Project API Keys → anon public
Prompt Templates
Manage Claude prompt templates for each pipeline stage.
Every save becomes the active template — previous versions are preserved.
Analysis
News
Thesis
Sector Insights
Required placeholders:
{eps_actual}{eps_estimate}{eps_surprise_pct}{revenue_actual}{transcript} JSON fields must use {{double braces}} to avoid being treated as placeholders.
Required placeholders:
{ticker}{company_name}{profile}{earnings_history}{transcript_summaries}{financial_health}{consensus_estimates}{analyst_ratings}{price_performance}{user_notes}{uploaded_files}{peer_context} JSON fields must use {{double braces}} to avoid being treated as placeholders.
Version History
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Available placeholders:
{sector}{week_ending}{num_tickers}{ticker_block}{price_block}{rev_block}{conv_block}{new_themes}{accel_themes}{decay_themes}{tech_block}{rate_block}{val_block}{earn_block}{prior_block} JSON fields in the return schema must use {{double braces}} to avoid being treated as placeholders.
Version History
Earnings Quality Score — Weights
Adjust how each factor contributes to the 0–100 score shown in tables and company pages.
Weights must sum to 100.
Pipeline Actions
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Trigger pipeline commands remotely. Server must be running: python pipeline.py server
Sector Visibility Filter
Hide sectors from summary views (Sector Analysis, sector charts, sector performance, alerts by sector). Hidden sectors still appear in Overview table, Earnings, Portfolio Performance, and X-Ray.
CarbonArc Alt Data Metrics
Toggle which CarbonArc metrics are active per ticker. Each metric costs ~$5/refresh. Budget cap: $100/month.
Pipeline Run Logs
Recent pipeline execution history. Auto-loads the last 50 runs.
Mode
Started
Duration
Status
OK / Err
Errors
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Cost by Category
Claude API spend grouped by pipeline operation. Monthly budget targets are editable.
Category
This Month
Last Month
2 Months Ago
Monthly Budget
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Recent Runs with API Cost
Last 30 task runs that incurred Claude API spend.
Task
Started
Duration
Cost
Status
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Thematic Analysis
Portfolio-wide canonical theme intelligence.
Intelligence Configuration
◫ Sector / Sub-Sector Hierarchy →
AI Resilience Weights
5 dimensions, must sum to 100%
100% Valid
Label Thresholds
Conviction Weights
4 dimensions, must sum to 100%
100% Valid
Label Thresholds
Buy Radar Weights
4 dimensions, must sum to 100%
100% Valid
Label Thresholds
Conviction Sub-Score Inputs
Configure the input weightings within each conviction dimension
Fundamental
Thematic
Valuation
Catalyst
Fundamental sub-score input configuration coming soon